DeepSeek R1 Distill Llama 70B vs DeepSeek R1 Distill Qwen 32B
DeepSeek R1 Distill Llama 70B and DeepSeek R1 Distill Qwen 32B are closely matched at 14.7 and 13.3 on the LLM Stats Score. DeepSeek R1 Distill Qwen 32B is 1.3x cheaper per token.
DeepSeek · DeepSeek · Updated for 2026
Which is better?
DeepSeek R1 Distill Llama 70B and DeepSeek R1 Distill Qwen 32B are closely matched on the overall LLM Stats Score at 14.7 and 13.3.
In the 4 individual benchmarks reported for both models, DeepSeek R1 Distill Llama 70B wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek R1 Distill Qwen 32B is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Llama 70B
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
Choose DeepSeek R1 Distill Qwen 32B
- cost matters — it's about 1.3x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Llama 70B · 4 for DeepSeek R1 Distill Qwen 32B
DeepSeek R1 Distill Llama 70B outperforms in 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500), while DeepSeek R1 Distill Qwen 32B is better at 0 benchmarks.
DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 1.2x cheaper than DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 2.2x more expensive than DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens).
In conclusion, DeepSeek R1 Distill Llama 70B is more expensive than DeepSeek R1 Distill Qwen 32B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek R1 Distill Llama 70B has 37.8B more parameters than DeepSeek R1 Distill Qwen 32B, making it 115.2% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Both models were released on 2025-01-20.
They likely represent similar generations of model development.
Jan 20, 2025
1.6 years ago
Jan 20, 2025
1.6 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek R1 Distill Llama 70B is available from DeepInfra. DeepSeek R1 Distill Qwen 32B is available from DeepInfra.
DeepSeek R1 Distill Llama 70B
DeepSeek R1 Distill Qwen 32B
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 70B and DeepSeek R1 Distill Qwen 32B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs DeepSeek R1 Distill Qwen 32B.